Factors affecting species distribution predictions: A simulation modeling experiment

Ecological Applications

Volumn 15, Issue 2, 2005, Pages 554-564

  Reese, Gordon C ^a   Wilson, Kenneth R ^a   Hoeting, Jennifer A ^a   Flather, Curtis H ^b  

^a Immunology and Pathology   (United States)

^b ROCKY MOUNTAIN RESEARCH STATION   (United States)

Author keywords

Autologistic regression model; Detection probability; Environmental data error; Habitat relationship modeling; Prediction accuracy assessment; Roadside survey; Sample data; Sample size; Sampling bias; Spatial contiguity; Species range

Indexed keywords

COMPUTER SIMULATION; ERROR ANALYSIS; POPULATION DISTRIBUTION; POPULATION MODELING; PREDICTION; SAMPLING BIAS; SPECIES OCCURRENCE;

EID: 15944423629     PISSN: 10510761     EISSN: None     Source Type: Journal    
DOI: 10.1890/03-5374     Document Type: Article

References (38)

1. Anderson, R. P., D. Lew, and A. T. Peterson. 2003. Evaluating predictive models of species' distributions: criteria for selecting optimal models. Ecological Modelling 162:211-232.
2. Augustin, N. H., M. A. Mugglestone, and S. T. Buckland. 1996. An autologistic model for the spatial distribution of wildlife. Journal of Applied Ecology 33:339-347.
3. Bart, J., M. Hofshen, and B. G. Peterjohn. 1995. Reliability of the Breeding Bird Survey: effects of restricting surveys to roads. Auk 112:758-761.
4. Bojórquez-Tapia, L. A., I. Azuara, and E. Ezcurra. 1995, Identifying conservation priorities in Mexico through geographic information systems and modeling. Ecological Applications 5:215-231.
5. Corsi, F., E. Duprè, and L. Boitani. 1999. A large-scale model of wolf distribution in Italy for conservation planning. Conservation Biology 13:150-159.
6. Cressie, N. A. 1993. Statistics for spatial data. John Wiley and Sons, New York, New York, USA.
7. Dean, D. J., K. R. Wilson, and C. H. Flather. 1997. Spatial error analysis of species richness for a Gap analysis map, Photogrammetric Engineering and Remote Sensing 63:1211-1217.
8. Edwards, J. L., M. A. Lane, and E. S. Nielsen. 2000. Interoperability of biodiversity databases: biodiversity, information on every desktop. Science 289:2312-2314.
9. Fielding, A. H., and J. F. Bell. 1997. A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental Conservation 24:38-49.
10. Fortin, M. J., P. Drapeau, and P. Legendre. 1989. Spatial autocorrelation and sampling design in plant ecology. Vegetatio 83:209-222.
11. Funk, V. A., and K. S. Richardson. 2002. Systematic data in biodiversity studies: use it or lose it. Systematic Biology 51:303-316.
12. Garrison, B. A., R. A. Erickson, M. A. Patten, and I. C. Timossi. 2000. Accuracy of wildlife model predictions for bird species occurrences in California counties. Wildlife Society Bulletin 28:667-674.
13. Hanowski, J. M., and G. J. Niemi. 1995. A comparison of on- and off-road bird counts: do you need to go off-road to count birds accurately? Journal of Field Ornithology 66: 469-483.
14. Hirzel, A., and A. Guisan. 2002. Which is the optimal sampling strategy for habitat suitability modelling. Ecological Modelling 157:331-341.
15. Hirzel, A. H., J. Hausser, D. Chessel, and N. Perrin. 2002. Ecological-niche factor analysis: how to compute habitat-suitability maps without absence data? Ecology 83:2027-2036.
16. Hirzel, A. H., V. Helfer, and F. Metral. 2001. Assessing habitat-suitability models with a virtual species. Ecological Modelling 145:111-121.
17. Hoeting, J. A., M. Leecaster, and D. Bowden. 2000. An improved model for spatially correlated binary responses. Journal of Agricultural, Biological, and Environmental Statistics 5:102-114.
18. Janssen, L. L. F., and F. J. M. van der Wel. 1994. Accuracy assessment of satellite-derived land-cover data: a review. Photogrammetric Engineering and Remote Sensing 60:419-426.
19. Kadmon, R., O. Farber, and A. Danin. 2004. Effect of roadside bias on the accuracy of predictive maps produced by bioclimatic models. Ecological Applications 14:401-413.
20. Keller, C. M. E., and J. T. Scallan. 1999. Potential roadside biases due to habitat changes along breeding bird survey routes. Condor 101:50-57.
21. Luoto, M., M. Kuussaari, and T. Toivonen. 2002. Modelling butterfly distribution based on remote sensing data. Journal of Biogeography 29:1027-1037.
22. MacKenzie, D. I., J. D. Nichols, G. B. Lachman, S. Droege, J. A. Royle, and C. A. Langtimm. 2002. Estimating site occupancy rates when detection probabilities are less than one. Ecology 83:2248-2255.
23. Morrison, M. L. 2001. A proposed research emphasis to overcome the limits of wildlife-habitat relationship studies. Journal of Wildlife Management 65:613-623.
24. Pathirana, S. 1999. Distribution of errors in a classified map of satellite data. Geocarto International 14:70-81.
25. Pearce, J., and S. Ferrier. 2000. Evaluating the predictive performance of habitat models developed using logistic regression. Ecological Modelling 133:225-245.
26. Pearson, D. E., and L. F. Ruggiero. 2003. Transect versus grid trapping arrangements for sampling small-mammal communities. Wildlife Society Bulletin 31:454-459.
27. Reddy, S., and L. M. Dávalos. 2003. Geographical sampling bias and its implications for conservation priorities in Africa. Journal of Biogeography 30:1719-1727.
28. Scherrer, B. 1984. Biostatistique. Gatan Morin Editeur, Chicoutimi, Québec, Canada.
29. Shaffer, H. B., R. N. Fisher, and C. Davidson. 1998. The role of natural history collections in documenting species declines. Trends in Ecology and Evolution 13:27-30.
30. Stockwell, D. R. B., and I. R. Noble. 1992. Induction of sets of rules from animal distribution data - a robust and informative method of data-analysis. Mathematics and Computers in Simulation 33:385-390.
31. Stockwell, D. R. B., and A. T. Peterson. 2002. Effects of sample size on accuracy of species distribution models. Ecological Modelling 148:1-13.
32. Stoms, D. M., F. W. Davis, and C. B. Cogan. 1992. Sensitivity of wildlife habitat models to uncertainties in GIS data. Photogrammetric Engineering and Remote Sensing 58:843-850.
33. Thompson, S. K. 1990. Adaptive cluster sampling. Journal of the American Statistical Association 85:1050-1059.
34. Tyre, A. J., B. Tenhumberg, S. A. Field, D. Niejalke, K. Parris, and H. P. Possingham. 2003. Improving precision and reducing bias in biological surveys: estimating false-negative error rates. Ecological Applications 13:1790-1801.
35. Veregin, H. 1989. A taxonomy of error in spatial databases. Technical paper 89-12. National Center for Geographic Information and Analysis, University of California, Santa Barbara, California, USA.
36. White, G. C., and R. A. Garrott. 1986. Effects of biotelemetry triangulation error on detecting habitat selection. Journal of Wildlife Management 50:509-513.
37. Zaniewski, A. E., A. Lehmann, and J. M. Overton. 2002. Predicting species spatial distributions using presence-only data: a case study of native New Zealand ferns. Ecological Modeling 157:261-280.
38. Zar, J. H. 1996. Biostatistical analysis. Prentice-Hall, Upper Saddle River, New Jersey, USA.